###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: -329179104
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.7      0.000      0.000
   2         -7.6      2.551      6.832
   3         -7.6      2.975      7.550
   4         -7.4      2.494      9.287
   5         -7.3      2.456      6.624
   6         -7.3      2.989     10.714
   7         -7.3      2.452      6.970
   8         -7.2      2.934      9.998
   9         -7.2      6.136     13.118
  10         -7.1      3.314     10.936
  11         -7.1      3.474     11.452
  12         -7.0      2.905     10.540
  13         -7.0      3.078     10.981
  14         -7.0      3.051      9.251
  15         -7.0      2.321      4.914
  16         -6.9      3.092      7.235
  17         -6.9      3.518     10.388
  18         -6.9      3.128      7.209
  19         -6.9      2.980     11.126
  20         -6.8      2.505      9.570
Writing output ... done.